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🚀 Hey there! its me your go-to expert for all things Machine Learning Python, Deep Learning Python, Computer Vision Python, Data Science, Robotics, Image Processing, C++, Matlab , Ros, and Python. With a fiery passion for innovation and a knack for delivering exceptional results, I'm here to elevate your projects to new heights. 💡 🔬 My forte lies in harnessing the latest techniques and algorithms to craft intelligent, robust solutions. In the realm of Computer Vision, I excel in: - ✅ Object Detection - ✅ Object Tracking - ✅ Semantic Segmentation - ✅ Instance Segmentation - ✅ Object Recognition - ✅ OCR projects In the realm of Machine Learning, I specialize in: - ✅ Support Vector Machines (SVM) - ✅ Random Forest - ✅ Gradient Boosting - ✅ K-Nearest Neighbors (KNN) - ✅ Decision Trees In Deep Learning, I'm proficient in: - ✅ Convolutional Neural Networks (CNN) - ✅ Recurrent Neural Networks (RNN) - ✅ Generative Adversarial Networks (GAN) - ✅ Long Short-Term Memory Networks (LSTM) - ✅ Transformer Networks - ✅ LLM Fine Tuning - ✅ RAG using LLM I have extensive experience in various fields, including: 🏥 Medical Imaging: - ✅ X-ray Disease Detection - ✅ CT Scan Analysis - ✅ MRI Image Analysis - ✅ Disease Classification - ✅ Tumor Detection - ✅ Organ Segmentation - ✅ Analysis of microscopy images 🌾 Agriculture: - ✅ Weed Detection - ✅ Plant Disease Detection - ✅ Palm Trees Detection - ✅ Crop Classification - ✅ Crop Yield Prediction - ✅ Plant Segmentation - ✅ Precision Agriculture 🏙️ Smart Cities: - ✅ Traffic Flow Prediction - ✅ Pedestrian Detection - ✅ Urban Planning Analysis - ✅ Waste Management Optimization - ✅ Environmental Monitoring - ✅ Detecting safety violations from camera footage 📸 Surveillance and Security: - ✅ Anomaly Detection - ✅ Facial Recognition - ✅ Object Tracking in Video - ✅ Intrusion Detection Systems - ✅ Time Series data Analysis 🤖 Robot Projects: ✅ A Pathfinding Algorithm ✅ Dijkstra’s Algorithm for Navigation ✅ SLAM (Simultaneous Localization and Mapping) ✅ 2D/3D Mapping using ROS ✅ LIDAR-based Mapping ✅ Reactive Obstacle Avoidance using IR Sensors ✅ Dynamic Obstacle Avoidance with Sensor Fusion ✅ ROS-based Obstacle Avoidance in Autonomous Vehicles ✅ Gazebo-based Robot Simulation ✅ Autonomous Vehicle Simulation in Gazebo ✅ Gazebo with SLAM Integration ✅ Robot Path Visualization in RViz ✅ Sensor Data Visualization in RViz ✅ RViz for SLAM Visualization 🧠 General Image Labeling Projects ✅ High-Quality Image Annotation for Machine Learning Datasets (Bounding Boxes, Masks, and Keypoints) ✅ Custom Image Labeling for AI Vision Models — Fast & Accurate Dataset Preparation ✅ Manual Image Tagging and Classification for ML Dataset Training ✅ Expert Data Labeling for Image Recognition and Computer Vision Tasks ✅ Dataset Creation and Labeling for Object Detection and Tracking 🎯 Object Detection–Focused Projects ✅ Object Detection Dataset Preparation — Bounding Box & Polygon Annotation ✅ YOLO / COCO / Pascal VOC Dataset Labeling for Object Detection Models ✅ Bounding Box Labeling for Autonomous Driving, Retail, and Drone Vision ✅ Annotation Expert for Object Detection and Instance Segmentation ✅ Prepare and Label Images for Deep Learning Detection Models (YOLO, SSD, Faster R-CNN) 🌈 Semantic & Instance Segmentation Projects ✅ Pixel-Level Semantic Segmentation for Computer Vision Models ✅ Annotation Services for Medical Image Segmentation (CT, MRI, X-Ray) ✅ Semantic Segmentation Dataset Creation From wielding the powers of Keras, TensorFlow, and PyTorch to sculpting intricate neural network architectures for tasks spanning classification, object detection, segmentation, and natural language processing, I thrive on pushing boundaries. 🧠 📊 With a rich tapestry of projects under my belt, I've honed my skills in every aspect, from data preprocessing and feature extraction to model training and evaluation. I'm no stranger to taming colossal datasets and weaving magic with statistical analysis and data visualization. 📈 🖼️ But that's not all! I possess a keen eye for image processing wizardry, from sprucing up images to recognizing objects and slicing through visual data with precision. Whether it's powering autonomous systems or fueling robotics, I've got the expertise to make it happen. 🤖 ✨ My commitment to excellence is unwavering, reflected in my meticulous attention to detail, knack for problem-solving, and knack for effective communication. Your unique needs are my priority, and I'm dedicated to crafting tailored solutions that exceed expectations. 🎯 🌟 So, if you're on the hunt for a reliable, skilled freelancer to tackle your machine learning, deep learning, computer vision, data science, or robotics projects, look no further. Let's join forces and transform your visions into reality with cutting-edge technology. 🌈 💬 Reach out today, and let's start this journey towards success together! 🚀

I help researchers, startups, and businesses turn AI ideas into working MVPs and scalable products through machine learning development, AI model integration, AI/Backend Engineer, Workflow Automations and research-backed implementation & writing support. 🏆 Top Rated | 100% Job Success | about $10K+ Earned | 40+ Completed Upwork Jobs Whether you need to validate an AI idea, integrate an existing model, reproduce research code, or improve an ML pipeline, I can help move your project from concept to a reliable implementation. 🏆 MVPs to Scalable Products | AI Research & Development | Research Support-Asistance 🧠 Deep Learning | Machine Learning | ML Model Training & Fine-Tuning | APIs | LLMs 🌟 2D/3D Vision | Sensors and Medical Data | GitHub & Hugging Face Code Reproduction 🧠 Classification, Regression, Time Series, Forecasting, Detection & Recognition WHAT I CAN HELP YOU BUILD: ✅ AI & Machine Learning MVPs, SaaS, Startup Predictive models, prototypes, backend APIs, AI model integration, and deployment-ready workflows. ✅ Deep Learning & Computer Vision Solutions Image classification, object detection, segmentation, anomaly detection, medical imaging, and 2D/3D vision pipelines. ✅ LLM, RAG & AI Integration OpenAI API integration, LangChain workflows, ChromaDB knowledge bases, retrieval pipelines, and AI-powered applications. ✅ Model Training & Fine-Tuning Data preparation, training pipelines, experimentation, evaluation, optimization, and reproducible implementation. ✅ Research Support & Code Reproduction Research-paper implementation, GitHub and Hugging Face code reproduction, benchmarking, ablation studies, experiment support, and technical reporting. ✅ Medical & Scientific Data Solutions Research-focused machine learning workflows for structured, image, and multimodal datasets. ✅ Time-Series & Sensor Data Solutions Forecasting, anomaly detection, signal processing, predictive modelling, and machine learning workflows for sensor, IoT, and sequential datasets. CORE TOOLS: Python | PyTorch | TensorFlow/Keras | Scikit-learn | OpenCV | Vercel AI | Github | Hugging Face | Flask | FastAPI | OpenAI API | Claude Code | LangChain | ChromaDB | Next.js | SQL | Docker | R/Rstudio | Matlab PyTorch | TensorFlow | Deep Learning | Neural Networks | Machine Learning | Machine Learning Model | Large Language Model | RAG | AI Model Development | AI Model Integration | Data Engineering | biostatistics | Statistical Analysis | Data Engineering | Image processing | Signal Processing WHAT YOU CAN EXPECT ✓ Clear communication and realistic scoping ✓ Clean, reproducible code and documentation ✓ Research-backed implementation decisions ✓ Flexible collaboration across USA, Europe, UK, and Australia time zones I also support Python/R Data Science Data Analysis, NLP, LLMs, OpenAI API, RAG chatbots, Clinical Data, Data Engineering, scraping tasks projects and build ETL pipelines as well as setup databases. Share your idea, dataset, existing codebase, or research paper, and I will help define the most practical path from prototype to implementation.

I am an AI & Machine Learning Engineer with strong expertise in Python, Deep Learning, and intelligent system development. With an MS in Computer Science and 2+ years of professional experience, I specialize in building reliable, scalable, and efficient solutions that solve real-world business and research problems. My experience spans across Python development, machine learning model design, deep learning solutions, data preprocessing, and backend system development. I have worked on developing end-to-end solutions from understanding raw data and building models to optimizing performance and delivering structured, production-ready outputs. I focus on writing clean, maintainable, and reusable code that ensures long-term usability and scalability. I bring a problem-solving mindset to every project. Instead of just writing code, I take time to fully understand the objective, analyze the requirements, and choose the most effective technical approach. This allows me to deliver solutions that are not only technically sound but also practical and aligned with business goals. My core expertise includes: - Python development for applications, automation, and AI systems - Machine Learning and Deep Learning model development - Data preprocessing, feature engineering, and analysis - Model training, evaluation, and performance optimization - Backend logic, APIs, and structured workflows - Debugging, code optimization, and performance improvement - Database handling and clean documentation I am committed to maintaining high standards of quality, communication, and reliability. I ensure clear understanding of project requirements before starting, provide regular updates, and deliver work on time with strong attention to detail. What sets me apart is the combination of academic knowledge and practical implementation. My MSCS background gives me a strong theoretical foundation, while my industry experience enables me to turn complex ideas into working, efficient solutions that create real value for clients. If you are looking for an AI & Machine Learning Engineer who is professional, responsive, and focused on delivering high-quality results, I would be glad to work with you. Let’s collaborate to turn your ideas into intelligent, scalable, and impactful solutions.

Expert-Vetted and Top Rated Plus (Top 1% )🏆🏆🏆 I am a Machine Learning Engineer/Data Scientist with 5 years of experience. I am a business-minded data scientist with an entrepreneurial spirit. My experience is in hands-on product development and implementation of data-driven products in the Computer Vision and Natural Language Processing domain, using state of the art deep learning algorithms. I propose modern and dynamic solutions to my clients for their business goals, and guide them throughout the journey to minimize the cost and maximize the output. I have experience working in an international environment and leading cross-cultural teams, and the ability to communicate fluently and clearly with team members, customers, and stakeholders. I have worked on the development of multiple AI/ML systems, serving millions of users at scale. Two of the Products that I am a part of, have raised seed funding totaling $1 Million. I have also been specializing in general machine learning, including academic and industrial research collaboration. Over the past 5 years, I have worked as an AI consultant and advised multiple projects in Computer Vision from bachelors to post graduate, in an industrial capacity. I have around 10 research publications in International conferences and Journals. Artificial Intelligence skills: ⠀✓ Supervised/Unsupervised/Semi-Supervised Learning Implementations ⠀✓ Classical Computer Vision Algorithm ⠀✓ Natural Language Processing/Natural Language Understanding ⠀✓ Edge-AI: Edge-Device Optimization, Jetson Nano, Jetson Xavier, Arduino, Raspberry Pi, Neural Compute Stick. ⠀✓ Image Processing and Deep Learning ⠀✓ Fast Neural Networks ⠀✓ Artificial Neural Networks (including DNN, CNN, FCNN, RNN, LSTM, GAN, VAE, etc.) ⠀✓ ML/DL tools: Scikit-Learn, PyTorch, Tensorflow, OpenCV, SciPy, NumPy, OpenVino ⠀✓ Data Manipulation/Visualization Tools: NumPy, Pandas, Matplotlib, Seaborn, NetworkX Whether it is working on a big and exciting project, or tutoring students on their final-year projects, I believe communication, trust and respect always come first. My strong points are Creativity, Punctuality, Responsiveness and Accountability. So, get in touch with me if you have an exciting idea you want to discuss the feasibility of, or just want some guidance or consultation on your next endeavor, I'm just a text away.

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

🌟 Top Rated Plus AI Engineer | PhD in Computer Science (AI, ML & Generative AI) I specialize in transforming complex ideas into scalable, real-world AI solutions that deliver measurable impact. With a strong blend of research excellence and practical implementation, I help businesses and researchers build intelligent systems that actually work in production. 🧠 Core Expertise 🔹 Computer Vision (YOLO, Vision Transformers, Object Detection) 🔹 Deep Learning (CNNs, Transformers, Vision Transformers - ViTs) 🔹 Generative AI & Large Language Models (LLMs) 🔹 NLP & Fine-tuning (BERT, LLaMA) 🔹 Predictive Modeling & Data Science 🔹Model Optimization & Deployment 💼 Featured Projects 🚧 AI-based Helmet Detection System (YOLOv8 + Vision Transformers) 🌱 Plant Disease Classification using Deep Learning 📉 Customer Churn Prediction System 🧾 Urdu NLP & LLM Fine-tuning Solutions 🏥 Medical Imaging with Explainable AI (Grad-CAM) 🎯 What I Can Do for You ✔ Design and develop custom AI/ML solutions tailored to your business ✔ Build Computer Vision systems (detection, classification, segmentation) ✔ Fine-tune and deploy LLMs & Generative AI applications ✔ Convert research papers into working, production-ready models ✔ Optimize models for performance, scalability, and deployment 🛠️ Tech Stack 💻 PyTorch | TensorFlow | OpenCV | Transformers | Python | Scikit-learn 💡 Why Choose Me? ✨ Top Rated Plus freelancer with a proven track record ✨ Strong PhD-level research + industry implementation expertise ✨ Clear communication, reliability, and on-time delivery ✨ Focus on building accurate, efficient, and production-ready AI systems 📩 Let’s collaborate to bring your AI idea to life! If you’re looking for a dependable expert in AI, Machine Learning, or Generative AI, I’d be happy to discuss your project. Regards 𝑫𝒓. 𝑺𝒂𝒏𝒂 𝑪𝒉𝒆𝒆𝒎𝒂